| Title |
Psychological profiles of gender and personality traces of Brazilian professional athletes of futsal, and their influence on physiological parameters
|
|---|---|
| Published in |
Psychology Research and Behavior Management, March 2016
|
| DOI | 10.2147/prbm.s77402 |
| Pubmed ID | |
| Authors |
Marcelo Guimarães Boia do Nascimento, Sérgio Adriano Gomes, Márcio Rabelo Mota, Renata Aparecida, Gislane Ferreira de Melo |
| Abstract |
The present study aimed to identify the psychological profiles of professional futsal players in terms of the gender schema and to evaluate the physiological parameters (speed, acceleration, strength, and power) and fatigue index of these athletes according to their gender profiles and relative to their positions on the court. The Masculine Inventory of the Self-concept Gender Schemas was used to classify the sample into typological groups, and the Running Anaerobic Sprint Test was used to measure the physiological parameters (speed, acceleration, strength, and power) and the fatigue index. The study sample was composed of 64 male professional futsal players who competed in the National Indoor Soccer league in 2013; the subjects had an average weight of 76.00±6.7 kg. Among the athletes studied, 23 (35.9%) were classified as heteroschematic female, 22 (34.4%) as heteroschematic male, and 19 (29.7%) as isoschematic. Regarding their positions on the court, eleven were goalkeepers (17.2%), 13 (20.3%) were defenders, 28 (43.8%) were midfielders, and 12 (18.8%) were attackers. The players had similar weights even when belonging to different typological groups and having different positions in the court. However, it is worth noting that male heteroschematic players had a greater mean weight (77.11±5.93 kg) and that the goalkeeper was, on average, the heaviest player (79.36±8.14 kg). The results of the physiological parameter analysis relative to typological group showed that, on average, high-level soccer players presented similar performance profiles in different rounds, as statistically significant differences were not found in any of the studied physiological variables (weight, distance, speed, acceleration, strength, power, and fatigue index). Although the results of this research did not reveal statistically significant differences between the groups in terms of the assessed variables, we observed that some results related to personality traits associated with both the male and female components could help to clarify and establish relationships with some strategic aspects inherent to futsal. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 113 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 20 | 18% |
| Student > Master | 18 | 16% |
| Researcher | 11 | 10% |
| Other | 6 | 5% |
| Student > Postgraduate | 6 | 5% |
| Other | 20 | 18% |
| Unknown | 33 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 40 | 35% |
| Psychology | 12 | 11% |
| Medicine and Dentistry | 10 | 9% |
| Nursing and Health Professions | 6 | 5% |
| Social Sciences | 3 | 3% |
| Other | 6 | 5% |
| Unknown | 37 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2016.
All research outputs
#15,365,885
of 22,858,915 outputs
Outputs from Psychology Research and Behavior Management
#347
of 558 outputs
Outputs of similar age
#177,107
of 298,398 outputs
Outputs of similar age from Psychology Research and Behavior Management
#8
of 8 outputs
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